Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Gesture recognition with application in music arrangement

Dissertation (MSc)--University of Pretoria, 2006.

Saved in:
Bibliographic Details
Other Authors: Engelbrecht, Andries P.
Format: Thesis
Published: University of Pretoria 2013
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867613661868064768
access_status_str Open Access
author2 Engelbrecht, Andries P.
author_browse Engelbrecht, Andries P.
author_facet Engelbrecht, Andries P.
collection Thesis
dc_rights_str_mv © University of Pretor
description Dissertation (MSc)--University of Pretoria, 2006.
format Thesis
id oai:repository.up.ac.za:2263/29240
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:39:42.090Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/29240 Gesture recognition with application in music arrangement Engelbrecht, Andries P. respho@gmail.com Van den Bergh, Frans Pun, James Chi-Him Computational intelligence Gesture recognition Device-free interaction Computer vision Human-computer interaction Music synthesis UCTD Dissertation (MSc)--University of Pretoria, 2006. This thesis studies the interaction with music synthesis systems using hand gestures. Traditionally users of such systems were limited to input devices such as buttons, pedals, faders, and joysticks. The use of gestures allows the user to interact with the system in a more intuitive way. Without the constraint of input devices, the user can simultaneously control more elements within the music composition, thus increasing the level of the system's responsiveness to the musician's creative thoughts. A working system of this concept is implemented, employing computer vision and machine intelligence techniques to recognise the user's gestures. Computer Science MSc unrestricted 2013-09-07T15:12:51Z 2008-01-14 2013-09-07T15:12:51Z 2007-04-25 2006 2007-11-05 Dissertation Pun, JC 2006, Gesture recognition with application in music arrangement, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/29240> Pretoria http://hdl.handle.net/2263/29240 http://upetd.up.ac.za/thesis/available/etd-11052007-171910/ © University of Pretor application/pdf University of Pretoria
spellingShingle Computational intelligence
Gesture recognition
Device-free interaction
Computer vision
Human-computer interaction
Music synthesis
UCTD
Gesture recognition with application in music arrangement
title Gesture recognition with application in music arrangement
title_full Gesture recognition with application in music arrangement
title_fullStr Gesture recognition with application in music arrangement
title_full_unstemmed Gesture recognition with application in music arrangement
title_short Gesture recognition with application in music arrangement
title_sort gesture recognition with application in music arrangement
topic Computational intelligence
Gesture recognition
Device-free interaction
Computer vision
Human-computer interaction
Music synthesis
UCTD
url http://hdl.handle.net/2263/29240
http://upetd.up.ac.za/thesis/available/etd-11052007-171910/